Dani El-Ayyass (@dayyass)
github

dayyass

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  • Stars
    star
    516
  • Global Rank 55,009 (Top 2 %)
  • Followers 181
  • Following 128
  • Registered over 7 years ago
  • Most used languages
    Python
         60.0 %
    Jupyter Notebook
         30.0 %
    C
         3.3 %
    PureBasic     3.3 %
    C++
         3.3 %
  • Location 🇷🇺 Russia
  • Country Total Rank 440
  • Country Ranking
    PureBasic     4
    Jupyter Notebook
         74
    Python
         80
    C
         1,194
    C++
         1,597

Top repositories

1

QaNER

Unofficial implementation of QaNER: Prompting Question Answering Models for Few-shot Named Entity Recognition.
Python
62
star
2

text-classification-baseline

Pipeline for fast building text classification TF-IDF + LogReg baselines.
Python
60
star
3

muse-as-service

REST API for sentence tokenization and embedding using Multilingual Universal Sentence Encoder.
Python
51
star
4

pytorch-ner

Pipeline for training NER models using PyTorch.
Python
47
star
5

rllib

Reinforcement Learning Library.
Python
28
star
6

dayyass

26
star
7

graph-based-clustering

Graph-Based Clustering using connected components and spanning trees.
Jupyter Notebook
24
star
8

latent-semantic-analysis

Pipeline for training LSA models using Scikit-Learn.
Python
22
star
9

git-hooks-is-all-you-need

Git Hooks Tutorial.
Python
18
star
10

calculus-of-variations

Project on solving the Calculus of variations problems using symbolic mathematics (2018).
Python
16
star
11

pydfs

Distributed File System written in Python
Python
14
star
12

neural-machine-translation

Pipeline for training Stanford Seq2Seq Neural Machine Translation using PyTorch.
Python
13
star
13

language-modeling

Pipeline for training Language Models using PyTorch.
Python
12
star
14

ml-as-service

Convert ML Models to Flask + Gunicorn + Docker Service.
Python
11
star
15

ml-interviews

My solutions for Home Assignments for Machine Learning Job Interviews.
Jupyter Notebook
10
star
16

synthetic-health-data-hackathon-2020

Synthetic Health Data Hackathon 2020 Alzheimer's MRI Analysis solution.
Jupyter Notebook
9
star
17

pytorch-tutorials

Different Deep Learning tasks solved using PyTorch models.
Python
9
star
18

project-euler

My solutions to Project Euler problems.
Python
8
star
19

extended-naive-bayes

[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.
Python
7
star
20

image-captioning

My solution to the Image Captioning Final Project of the Coursera "Introduction to Deep Learning" course with trained model deployed as telegram bot.
Jupyter Notebook
7
star
21

leetcode

My LeetCode solutions.
Python
6
star
22

milkshakelang

The MilkShake Programming Language.
Python
5
star
23

bachelor-diploma

Diploma thesis: "Assessment of credit organizations borrowers' default rate" (2019).
Jupyter Notebook
4
star
24

minor-projects

List of my minor projects.
4
star
25

kaggle

My solutions for different Kaggle Competitions.
Jupyter Notebook
4
star
26

prior-knowledge-layer-for-sequence-tagging

Jupyter Notebook
4
star
27

hpc

My experiments with MPI and OpenMP
C++
4
star
28

hse_nlp_course

Jupyter Notebook
3
star
29

LinuxDevelopment2022

C
3
star
30

bert-clf

3
star
31

reverse_words_dnn

Neural Network experiments with "Reverse Words in a String" task
Jupyter Notebook
3
star
32

mllib

Machine Learning Library
3
star
33

pytorch-autotrainer

Wrapper for PyTorch model training.
3
star
34

python-repo-template

GitHub Template for Python Repositories.
Python
3
star
35

simple-mnist-bot

Telegram Bot with Keras Simple MNIST ConvNet.
PureBasic
3
star
36

msu_task_3_ner

1
star